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Cross-institutional validation of a polar map-free 3D deep learning model for obstructive coronary artery disease prediction using myocardial perfusion imaging: insights into generalizability and bias

Crossref DOI link: https://doi.org/10.1007/s00259-025-07243-w

Published Online: 2025-04-08

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shih, Yu-Cheng

Ko, Chi-Lun

Wang, Shan-Ying

Chang, Chen-Yu

Lin, Shau-Syuan

Huang, Cheng-Wen

Cheng, Mei-Fang

Chen, Chung-Ming

Wu, Yen-Wen https://orcid.org/0000-0003-1520-1166
Funding

Funding for this research was provided by:

Ministry of Science and Technology, Taiwan (MOST107-2314-B-418-006-MY3; 108-2314-B-418-002-MY3; 111-2314-B-418-006-MY3)

Far Eastern Memorial Hospital (FEMH107-2314-B-418-006-MY3; 108-2314-B-418-002-MY3; 111-2314-B-418-006-MY3)
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Text and Data Mining valid from 2025-04-08

Version of Record valid from 2025-04-08
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Article History

Received: 13 February 2025

Accepted: 24 March 2025

First Online: 8 April 2025

Declarations

:

: An informed consent waiver was granted by the Far Eastern Memorial Hospital Institutional Review Board for this retrospective analysis (FEMH IRB no. 108038-E).

: The authors declare no competing interests.

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